Need Brutal Resume Advice

[u/R4IN3R]

Hello! I recently graduated with a degree in math and have been applying for entry-level machine learning and data science roles. I completed an ML/Applied Math research internship, but I have been struggling to get interviews.

Here is my current (maybe incorrect) philosophy and some questions I specifically have:

I was hoping my math projects would stand out, since they are (mostly) grad level and probability focused, which I thought would be applicable for ML. But I'm starting to think they care less about this and more about my CS skills, particularly ML ops. Should I replace them?

I have gotten conflicting advice with my File manager job. I know it's not relevant, but I have been told that working there for 5 years (Mostly in high school) is worth expressing. I also attribute it to my organization skills which I like to express. Remove or keep?

I am a dual degree in finance, and it was a lot of work to get it. I hope it expresses some sort of dedication, so I have a finance program on there that I was chosen to participate in. Not relevant though. Remove?

I also am wondering how to demonstrate my ML stack. Right now, I have put my most technical knowledge. I.e. LSTM, Reservoir computing, CAEs, PINNs, and some time series models. I was particularly proud of my Dynamic Mode Decomp project since it seems to be lesser known, but alas I have no luck. Do I need to put more "foundational" stuff? It just seems a little silly to make a boring classifier model or K-NN model just to show I know it, but if I need to I will. Of course, I am willing to use whatever tool is needed on the job as simple is many times better, but if I did RC with ridge regression can I infer they know I know LASSO too? I personally would like to do my next project on more interesting things, like transformers and something rather than showing I know ML 101, but is that what is missing?

Also, I have a paper from my internship that will most likely be accepted for publication after we submit the recent reviewer comments. Should I make a small publications section, or just say published in xyz?

In any case, please grill me and provide any/all feedback possible. I need the wakeup call.

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[u/my_peen_is_clean]

recruiters dont care about fancy models, they scan for basic buzzwords first. add python, pandas, sklearn, pytorch, sql, cloud, deployment etc. show simple end to end projects with metrics. file job 1 line max or cut. finance degree 1 line. 1 page resume. tailor bullets to each jd. also apply to analyst roles too. it’s just insanely hard to get any ml interview right now

[u/R4IN3R → u/my_peen_is_clean]

Tysm, will do! I appreciate it.